tailieunhanh - Báo cáo hóa học: " Research Article ML-PDA: Advances and a New Multitarget Approach"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article ML-PDA: Advances and a New Multitarget Approach | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 260186 13 pages doi 2008 260186 Research Article ML-PDA Advances and a New Multitarget Approach Wayne Blanding 1 Peter Willett 2 and Yaakov Bar-Shalom2 1 Physical Sciences Department York College of Pennsylvania York PA 17405 USA 2 Department of Electrical and Computer Engineering University of Connecticut 371 Fairfield Road Storrs CT 06269-2157 USA Correspondence should be addressed to Wayne Blanding wblandin@ Received 30 March 2007 Accepted 23 September 2007 Recommended by Roy L. Streit Developed over 15 years ago the maximum-likelihood-probabilistic data association target tracking algorithm has been demonstrated to be effective in tracking very low observable VLO targets where target signal-to-noise ratios SNRs require very low detection processing thresholds to reliably give target detections. However this algorithm has had limitations which in many cases would preclude use in real-time tracking applications. In this paper we describe three recent advances in the ML-PDA algorithm which make it suitable for real-time tracking. First we look at two recently reported techniques for finding the ML-PDA track estimate which improves computational efficiency by one order of magnitude. Next we review a method for validating ML-PDA track estimates based on the Neyman-Pearson lemma which gives improved reliability in track validation over previous methods. As our main contribution we extend ML-PDA from a single-target tracker to a multitarget tracker and compare its performance to that of the probabilistic multihypothesis tracker PMHT . Copyright 2008 Wayne Blanding et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. INTRODUCTION The problem of tracking very low observable VLO targets in